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onls (version 0.1-2)

Orthogonal Nonlinear Least-Squares Regression

Description

Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting.

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Version

Install

install.packages('onls')

Monthly Downloads

219

Version

0.1-2

License

GPL (>= 2)

Last Published

October 31st, 2022

Functions in onls (0.1-2)

confint.onls

Confidence intervals for 'onls' model parameters
deviance_o

Deviance of the orthogonal residuals
NIST

Complicated nonlinear models from the NIST database
print.onls

Printing function for 'onls' objects
check_o

Check the fit for orthogonality of all points
onls

Orthogonal Nonlinear Least-Squares Regression
summary.onls

Summary function for 'onls' objects
residuals_o

The orthogonal residuals
logLik_o

Log-Likelihood for the orthogonal residuals
plot.onls

Plotting function for 'onls' objects
x0

x0/y0-values from orthogonal nonlinear least squares regression